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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 3182
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    Explanations

    references to the country Malaysia

    oai_token-act-pair · gpt-3.5-turbo

    references to Malaysia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptions
    -0.73
    á½
    -0.67
    å§
    -0.67
    enegger
    -0.66
    BAT
    -0.66
    ä
    -0.63
    bern
    -0.63
     brut
    -0.62
    UGC
    -0.62
    ebook
    -0.62
    POSITIVE LOGITS
     Lumpur
    1.65
     Airlines
    1.39
     airliner
    0.89
     airlines
    0.84
    vati
    0.84
    awi
    0.83
    colm
    0.82
    sey
    0.79
     Abdul
    0.78
    querade
    0.78
    Activations Density 0.021%

    No Known Activations